Journal of the American Statistical Association

2001 - 2011

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Current editor(s): Leonard A. Stefanski

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2005, volume 100

Bayesians, Frequentists, and Scientists pp. 1-5

Bradley Efron

Weather Forecasting for Weather Derivatives pp. 6-16

Sean D. Campbell and Francis Diebold

Are Maintenance Practices for Railroad Tracks Effective? pp. 17-25

Jason R.W. Merrick, Refik Soyer and Thomas A. Mazzuchi

A Space-Time Conditional Intensity Model for Evaluating a Wildfire Hazard Index pp. 26-35

Roger D. Peng, Frederic Paik Schoenberg and James A. Woods

Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective pp. 36-50

Lawrence Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, Haipeng Shen, Sergey Zeltyn and Linda Zhao

Classification of Missense Mutations of Disease Genes pp. 51-60

Xi Zhou, Edwin S. Iversen and Giovanni Parmigiani

Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data pp. 61-70

Douglas N. Midthune, Michael P. Fay, Limin X. Clegg and Eric J. Feuer

False Discovery Rate-Adjusted Multiple Confidence Intervals for Selected Parameters pp. 71-81

Yoav Benjamini and Daniel Yekutieli

Comment pp. 81-82

Don Edwards

Comment pp. 82-84

Juliet Popper Shaffer

Comment pp. 84-85

Ajit C. Tamhane

Comment pp. 85-89

Peter H. Westfall

Comment pp. 89-90

Burt Holland

Rejoinder pp. 90-93

Yoav Benjamini and Daniel Yekutieli

Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing pp. 94-108

Joseph P. Romano and Michael Wolf

Sequential Monte Carlo Methods for Statistical Analysis of Tables pp. 109-120

Yuguo Chen, Persi Diaconis, Susan P. Holmes and Jun S. Liu

Homogeneous Linear Predictor Models for Contingency Tables pp. 121-134

Joseph B. Lang

Multifold Predictive Validation in ARMAX Time Series Models pp. 135-146

Daniel Peña and Ismael Sanchez

Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data pp. 147-157

Naisyin Wang, Raymond J. Carroll and Xihong Lin

A General Statistical Framework for Unifying Interval and Linkage Disequilibrium Mapping: Toward High-Resolution Mapping of Quantitative Traits pp. 158-171

Xiang-Yang Lou, George Casella, Rory J. Todhunter, Mark C.K. Yang and Rongling Wu

On the Cox Model With Time-Varying Regression Coefficients pp. 172-183

Lu Tian, David Zucker and L.J. Wei

Functional Association Models for Multivariate Survival Processes pp. 184-196

Jun Yan and Jason P. Fine

A Calculus for Design of Two-Stage Adaptive Procedures pp. 197-203

Tatsuki Koyama, Allan R. Sampson and Leon J. Gleser

Constrained Inverse Regression for Incorporating Prior Information pp. 204-211

Prasad A. Naik and Chih-Ling Tsai

Nonparametric Identification and Estimation of a Censored Location-Scale Regression Model pp. 212-221

Songnian Chen, Gordon Dahl and Shakeeb Khan

Regression Analysis With Linked Data pp. 222-230

P. Lahiri and Michael D. Larsen

A Statistical Model for Signature Verification pp. 231-241

Ian W. McKeague

A Bayesian Semiparametric Model for Random-Effects Meta-Analysis pp. 242-251

Deborah Burr and Hani Doss

Inferences Under a Stochastic Ordering Constraint: The k-Sample Case pp. 252-261

Hammou El Barmi and Hari Mukerjee

Estimating Load-Sharing Properties in a Dynamic Reliability System pp. 262-272

Paul H. Kvam and Edsel A. Pena

Approximate and Asymptotic Distributions of Chi-Squared-Type Mixtures With Applications pp. 273-285

Jin-Ting Zhang

Bilinear Mixed-Effects Models for Dyadic Data pp. 286-295

Peter D. Hoff

Variance Estimation in a Model With Gaussian Submodels pp. 296-309

Vanja M. Dukic and Edsel A. Pena

Space-Time Covariance Functions pp. 310-321

Michael L. Stein

Causal Inference Using Potential Outcomes: Design, Modeling, Decisions pp. 322-331

Donald B. Rubin

Missing-Data Methods for Generalized Linear Models: A Comparative Review pp. 332-346

Joseph G. Ibrahim, Ming-Hui Chen, Stuart R. Lipsitz and Amy H. Herring

Nonlinear Time Series: Nonparametric and Parametric Methods. Jianqing Fan and Qiwei Yao pp. 348-349

Jay Breidt

Statistical Inference and Simulation for Spatial Point Processes. Jesper Moller and Rasmus P. Waagepetersen pp. 349-350

Frederic P. Schoenberg

Stochastic Models in Queueing Theory (2nd ed.). J. Medhi pp. 350-351

Sarah M. Ryan

Highly Structured Stochastic Systems. Peter J. Green, Nils Lid Hjort, and Sylvia Richardson pp. 351-352

Antonietta Mira

Discrete Choice Methods With Simulations. Kenneth E. Train pp. 352-353

Karla V. Ballman

Spatial Data Analysis: Theory and Practice. Robert Haining pp. 353-354

Lynne Seymour

Multilevel Statistical Models (3rd ed.). Harvey Goldstein pp. 354-355

Risto Lehtonen

Subjective and Objective Bayesian Statistics: Principles, Models, and Applications (2nd ed.). S. James Press pp. 355-356

Thomas H. Short

Sample Survey Theory: Some Pythagorean Perspectives. Paul Knottnerus pp. 356-356

Imbi Traat

Hidden Markov Models for Longitudinal Comparisons pp. 359-369

Steven L. Scott, Gareth M. James and Catherine A. Sugar

Contact Surface Models for Infectious Diseases: Estimation From Serologic Survey Data pp. 370-379

C. Paddy Farrington and Heather J. Whitaker

A Bayesian Approach to 2000 Census Evaluation Using ACE Survey Data and Demographic Analysis pp. 380-388

Michael R. Elliott and Roderick Little

Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species pp. 389-398

Robert M. Dorazio and J. Andrew Royle

Population-Calibrated Gene Characterization: Estimating Age at Onset Distributions Associated With Cancer Genes pp. 399-409

Edwin S. Iversen and Sining Chen

Sufficient Dimension Reduction via Inverse Regression: A Minimum Discrepancy Approach pp. 410-428

R. Dennis Cook and Liqiang Ni

Component Identification and Estimation in Nonlinear High-Dimensional Regression Models by Structural Adaptation pp. 429-445

Alexander Samarov, Vladimir Spokoiny and Celine Vial

An Overview of Asymptotic Properties of Lp Regression Under General Classes of Error Distributions pp. 446-458

P.Y. Lai and Stephen M.S. Lee

An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling pp. 459-469

Mark A. Weaver and Haibo Zhou

Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects pp. 470-483

Donglin Zeng, D.Y. Lin and Guosheng Yin

Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau pp. 484-492

Emily C. Martin and Rebecca A. Betensky

Phase 2 and 3 Combination Designs to Accelerate Drug Development pp. 493-502

Qing Liu and Gordon W. Pledger

A Note on Nonparametric Estimation of the Effective Dose in Quantal Bioassay pp. 503-510

Holger Dette, Natalie Neumeyer and Kay F. Pilz

Exact, Nonparametric Inference When Doses Are Measured With Random Errors pp. 511-518

Paul R. Rosenbaum

SLEX Analysis of Multivariate Nonstationary Time Series pp. 519-531

Hernando Ombao, Rainer von Sachs and Wensheng Guo

Diagnostic Checking in ARMA Models With Uncorrelated Errors pp. 532-544

Christian Francq, Roch Roy and Jean-Michel Zakoian

Bootstrapping Unit Root Tests for Autoregressive Time Series pp. 545-553

Efstathios Paparoditis and Dimitris N. Politis

Constructing Stationary Time Series Models Using Auxiliary Variables With Applications pp. 554-564

Michael K. Pitt and Stephen G. Walker

Functional Adaptive Model Estimation pp. 565-576

Gareth M. James and Bernard W. Silverman

Functional Data Analysis for Sparse Longitudinal Data pp. 577-590

Fang Yao, Hans-Georg Muller and Jane-Ling Wang

Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure pp. 591-601

Samiran Sinha, Bhramar Mukherjee, Malay Ghosh, Bani K. Mallick and Raymond J. Carroll

Bayesian Variable Selection in Clustering High-Dimensional Data pp. 602-617

Mahlet G. Tadesse, Naijun Sha and Marina Vannucci

Bayesian Semiparametric Isotonic Regression for Count Data pp. 618-627

David B. Dunson

Optimal Conditionally Unbiased Bounded-Influence Inference in Dynamic Location and Scale Models pp. 628-641

Loriano Mancini, Elvezio Ronchetti and Fabio Trojani

Outlier Labeling With Boxplot Procedures pp. 642-652

C.H. Sim, F.F. Gan and T.C. Chang

Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes pp. 653-668

Hyoung-Moon Kim, Bani K. Mallick and C.C. Holmes

Estimation of Poisson Intensity in the Presence of Dead Time pp. 669-679

Shuyuan He, Grace L. Yang, Kai Tai Fang and John F. Widmann

Statistical Methods for Eliciting Probability Distributions pp. 680-701

Paul H. Garthwaite, Joseph B. Kadane and Anthony O'Hagan

Applied Spatial Statistics for Public Health Data. Lance A. Waller and Carol A. Gotway pp. 702-703

Peter Diggle

Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective. Terje Aven pp. 703-704

David L. Banks

Quantitative Methods in Population Health: Extensions of Ordinary Regression. Mari Palta pp. 704-705

Erinn M. Hade

Comparison Methods for Stochastic Models and Risks. Alfred Muller and Dietrich Stoyan pp. 704-704

Peter C. Kiessler

The Statistical Evaluation of Medical Tests for Classification and Prediction. Margaret Sullivan Pepe pp. 705-705

Peihua Qiu

Computational Methods in Statistics and Econometrics. Hisashi Tanizaki pp. 705-707

Giovanni Baiocchi

Numerical Issues in Statistical Computing for the Social Scientist. Micah Altman, Jeff Gill, and Michael P. McDonald pp. 707-708

T. Van Zandt

Planning, Construction, and Statistical Analysis of Comparative Experiments. Francis G. Giesbrecht and Marcia L. Gumpertz pp. 708-709

Christine M. Anderson-Cook

Experimental and Quasi-Experimental Designs for Generalized Causal Inference. William R. Shadish, Thomas D. Cook, and Donald T. Campbell pp. 708-708

Christine M. Anderson-Cook

Applied Longitudinal Analysis. Garrett M. Fitzmaurice, Nan M. Laird, and James H. Ware pp. 709-710

Geert Molenberghs

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Anders Skrondal and Sophia Rabe-Hesketh pp. 710-711

Luisa Corrado

Microarray Quality Control. Wei Zhang, Ilya Shmulevich, and Jaakko Astola pp. 711-711

Robert Gentleman

Design and Analysis of DNA Microarray Investigations. Richard M. Simon, Edward L. Korn, Lisa M. McShane, Michael D. Radmacher, George W. Wright, and Yingdong Zhao pp. 711-712

Robert Gentleman

Resampling Methods for Dependent Data. S. N. Lahiri pp. 712-713

Vincent J. Carey

Mathematical and Statistical Methods for Genetic Analysis (2nd ed.). Kenneth Lange pp. 712-712

Vincent J. Carey

Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications. Wayne B. Nelson pp. 713-713

Russell V. Lenth

Hierarchical Graphical Models: An Application to Pulmonary Function and Cholesterol Levels in the Normative Aging Study pp. 719-727

Dabao Zhang, Martin T. Wells, Bruce W. Turnbull, David Sparrow and Patricia A. Cassano

Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures pp. 728-735

Shibao Feng, Robert A. Wolfe and Friedrich K. Port

The Joint Measurement of Technical and Allocative Inefficiencies: An Application of Bayesian Inference in Nonlinear Random-Effects Models pp. 736-747

Subal Kumbhakar and Mike Tsionas

A Hierarchical Framework for Modeling and Forecasting Web Server Workload pp. 748-763

Ta-Hsin Li

Spike and Slab Gene Selection for Multigroup Microarray Data pp. 764-780

Hemant Ishwaran and J. Sunil Rao

Semilinear High-Dimensional Model for Normalization of Microarray Data: A Theoretical Analysis and Partial Consistency pp. 781-796

Jianqing Fan, Heng Peng and Tao Huang

Comment pp. 796-798

Chiara Sabatti

Comment pp. 799-800

Bruce A. Craig

Comment pp. 800-804

Jian Huang and Cun-Hui Zhang

Comment pp. 804-804

Heping Zhang

Comment pp. 805-807

Michael R. Kosorok and Shuangge Ma

Comment pp. 807-808

Robert Tibshirani

Rejoinder pp. 808-813

Jianqing Fan, Heng Peng, Tao Huang and Yi Ren

A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data pp. 814-829

Jian Huang, Deli Wang and Cun-Hui Zhang

The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting pp. 830-840

Mario Forni, Marc Hallin, Marco Lippi and Lucrezia Reichlin

Measurement Error in Linear Autoregressive Models pp. 841-852

John Staudenmayer and John P. Buonaccorsi

Estimation of Long Memory in the Presence of a Smooth Nonparametric Trend pp. 853-871

Clifford Hurvich, Gabriel Lang and Philippe Soulier

Dynamical Correlation for Multivariate Longitudinal Data pp. 872-881

Joel A. Dubin and Hans-Georg Muller

Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times pp. 882-889

Jianguo Sun, Do-Hwan Park, Liuquan Sun and Xingqiu Zhao

Nonparametric Inferences for Additive Models pp. 890-907

Jianqing Fan and Jiancheng Jiang

Rank-Sum Tests for Clustered Data pp. 908-915

Somnath Datta and Glen A. Satten

Multivariate Nonparametric Tests of Independence pp. 916-925

Sara Taskinen, Hannu Oja and Ronald H. Randles

A Unified Nonparametric Approach for Unbalanced Factorial Designs pp. 926-941

Xin Gao and Mayer Alvo

A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation pp. 942-959

Ji-Ping Z. Wang and Bruce G. Lindsay

The Profile Sampler pp. 960-969

Bee Leng Lee, Michael R. Kosorok and Jason P. Fine

Bootstrap Standard Error Estimates for Linear Regression pp. 970-979

Silvia Goncalves and Halbert White

Locally Efficient Semiparametric Estimators for Generalized Skew-Elliptical Distributions pp. 980-989

Yanyuan Ma, Marc G. Genton and Anastasios A. Tsiatis

CATS: Clustering After Transformation and Smoothing pp. 990-999

Nicoleta Serban and Larry Wasserman

Inference for a Class of Transformed Hazards Models pp. 1000-1008

Donglin Zeng, Guosheng Yin and Joseph G. Ibrahim

Limited- and Full-Information Estimation and Goodness-of-Fit Testing in 2n Contingency Tables: A Unified Framework pp. 1009-1020

Alberto Maydeu-Olivares and Harry Joe

Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing pp. 1021-1035

Alan E. Gelfand, Athanasios Kottas and Steven N. MacEachern

Generalized Radius Processes for Elliptically Contoured Distributions pp. 1036-1045

Luis Angel Garcia-Escudero and Alfonso Gordaliza

Estimation in the Mixture of Markov Chains Moving With Different Speeds pp. 1046-1053

Halina Frydman

Residual Diagnostics for Growth Mixture Models: Examining the Impact of a Preventive Intervention on Multiple Trajectories of Aggressive Behavior pp. 1054-1076

Chen-Pin Wang, C. Hendricks Brown and Karen Bandeen-Roche

Transdimensional Markov Chains: A Decade of Progress and Future Perspectives pp. 1077-1089

Scott A. Sisson

Diagnostic Checks in Time Series: Wai Keung Li pp. 1091-1092

Colin M. Gallagher

Association Schemes: Designed Experiments, Algebra and Combinatorics: Rosemary Bailey pp. 1092-1093

J.P. Morgan

Ranked Set Sampling: Theory and Applications: Zehua Chen, Zhidong Bai, and Bimal K. Sinha pp. 1093-1094

Omer Ozturk

Weibull Models: Prabhakar D. N. Murthy, Min Xie, and Renyan Jiang pp. 1094-1094

Johanna Neslehova

Statistical Methods of Analysis: Chin Long Chiang pp. 1094-1095

Philip F. Rust

Causality: Models, Reasoning, and Inference: Judea Pearl pp. 1095-1096

Charles R. Hadlock

Bayesian Artificial Intelligence: Keven B. Korb and Ann E. Nicholson pp. 1096-1097

Marco F. Ramoni

Convex Optimization: Stephen Boyd and Lieven Vandenberghe pp. 1097-1097

Hans-Jakob Luethi

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation: Desmond J. Higham pp. 1098-1098

Ralf Korn

Finite-Sample Econometrics: Advanced Texts in Econometrics: Aman Ullah pp. 1098-1099

Elvezio Ronchetti

Practical Genetic Algorithms (2nd ed.): Randy L. Haupt and Sue Ellen Haupt pp. 1099-1099

Christine M. Anderson-Cook

Estimating Risks of Identification Disclosure in Microdata pp. 1103-1112

Jerome P. Reiter

Forecasts From Nonrandom Samples: The Election Night Case pp. 1113-1122

Jose Manuel Pavia-Miralles

Imputation of Binary Treatment Variables With Measurement Error in Administrative Data pp. 1123-1132

Recai M. Yucel and Alan M. Zaslavsky

A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities pp. 1133-1144

Ke Xu, Christopher K. Wikle and Neil I. Fox

Maximization by Parts in Likelihood Inference pp. 1145-1158

Peter X.K. Song, Yanqin Fan and John D. Kalbfleisch

Comment pp. 1158-1159

Jiming Jiang

Comment pp. 1159-1160

Thomas A. Louis

Comment pp. 1160-1161

J.G. Liao and Bahjat F. Qaqish

Comment pp. 1161-1163

David Ruppert

Rejoinder pp. 1164-1167

Peter X.K. Song, Yanqin Fan and John D. Kalbfleisch

Artificially Augmented Samples, Shrinkage, and Mean Squared Error Reduction pp. 1168-1175

Yannis G. Yatracos

Robust Estimation in Generalized Partial Linear Models for Clustered Data pp. 1176-1184

Xuming He, Wing K. Fung and Zhongyi Zhu

Univariate Nonparametric Regression in the Presence of Auxiliary Covariates pp. 1185-1201

Sam Efromovich

Combining Linear Regression Models: When and How? pp. 1202-1214

Zheng Yuan and Yuhong Yang

Efficient Empirical Bayes Variable Selection and Estimation in Linear Models pp. 1215-1225

Ming Yuan and Yi Lin

Quantiles for Counts pp. 1226-1237

José António Machado and João Santos Silva

Nonparametric Estimation of an Additive Quantile Regression Model pp. 1238-1249

Joel L. Horowitz and Sokbae (Simon) Lee

Weighted Estimators for Proportional Hazards Regression With Missing Covariates pp. 1250-1263

Lihong Qi, C.Y. Wang and Ross L. Prentice

A PseudoPartial Likelihood Method for Semiparametric Survival Regression With Covariate Errors pp. 1264-1277

David M. Zucker

Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors pp. 1278-1291

Antonio Lijoi, Ramses H. Mena and Igor Prunster

On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation pp. 1292-1296

Antonio Lijoi, Igor Prunster and Stephen G. Walker

Outlier Robust Model Selection in Linear Regression pp. 1297-1310

Samuel Muller and A.H. Welsh

A Generalized WangLandau Algorithm for Monte Carlo Computation pp. 1311-1327

Faming Liang

Linear Unmixing of Multivariate Observations: A Structural Model pp. 1328-1342

Marcel Wolbers and Werner Stahel

A Fast, Optimal Spatial-Prediction Method for Massive Datasets pp. 1343-1357

ShengLi Tzeng, Hsin-Cheng Huang and Noel Cressie

Multiscale, Multigranular Statistical Image Segmentation pp. 1358-1369

Eric D. Kolaczyk, Junchang Ju and Sucharita Gopal

Optimal Design for Goodness-of-Fit of the MichaelisMenten Enzyme Kinetic Function pp. 1370-1381

Holger Dette, Viatcheslav B. Melas and Weng Kee Wong

Diverging Moments and Parameter Estimation pp. 1382-1393

Paulo Goncalves and Rudolf Riedi

A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data pp. 1394-1411

Lan Zhang, Per A. Mykland and Yacine Ait-Sahalia

A Family of Symmetric Distributions on the Circle pp. 1422-1428

M.C. Jones and Arthur Pewsey

Nonparametric Model Calibration Estimation in Survey Sampling pp. 1429-1442

Giorgio E. Montanari and M. Giovanna Ranalli

Structural Equation Models: A Review With Applications to Environmental Epidemiology pp. 1443-1455

Brisa N. Sanchez, Esben Budtz-Jorgensen, Louise M. Ryan and Howard Hu

Permutation, Parametric, and Bootstrap Tests of Hypotheses (3rd ed.). Phillip Good pp. 1457-1458

David H. Annis

Optimization. Kenneth Lange pp. 1457-1457

Russell Steele

Statistics, Econometrics and Forecasting. Arnold Zellner pp. 1458-1458

Markus Leippold

Periodic Time Series Models. Philip Hans Franses and Richard Paap pp. 1458-1459

Robert Lund

Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments. Hrishikesh D. Vinod and Derrick P. Reagle pp. 1459-1460

Yannick Malevergne

Information Theory, Inference, and Learning Algorithms. David J. C. MacKay pp. 1461-1462

Yuhong Yang

Levy Processes and Stochastic Calculus. David Applebaum pp. 1461-1461

Alexander Novikov

Stereology for Statisticians. Adrian Baddeley and Eva B. Vedel Jensen pp. 1462-1462

David H. Annis

Measurement Theory and Practice: The World Through Quantification. David J. Hand pp. 1462-1463

B McCullough

Multiple Analyses in Clinical Trials: Fundamentals for Investigators. Lemuel A. Moye pp. 1463-1463

Alex Dmitrienko

Statistical Methods in Genetic Epidemiology. Duncan C. Thomas pp. 1464-1464

Peter Kraft and Christoph Lange

Analyzing Microarray Gene Expression Data. Geoffrey J. McLachlan, Kim-Anh Do, and Christophe Ambroise pp. 1464-1465

Darlene R. Goldstein

Discovering Knowledge in Data: an Introduction to Data Mining. Daniel T. Larose pp. 1465-1465

George A. Marcoulides

Kendall's Advanced Theory of Statistics, Vol. 2B: Bayesian Inference (2nd ed.). Anthony O'Hagan and Jonathan Forster pp. 1465-1466

D. Pauler Ankerst